PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-12 10:21:37.155465+00:00 (UTC)
In US/Central Time, this is 2024-06-12 05:21:37.155465-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/3e5398f050952ce9b5eb59c081c7e5570cfbc54f50e0a6a0695f9b68c27d2b3f.png
We are just generating a random time serie here.
../../_images/4e9dcb35d8410ca33f7f29aa50fa80b97f969ca665c50a993dd95bf69380c4a9.png
../../_images/ec6167397fbf07dd87818d6300f73a8017ab6d48d51dcfcbb83b5b6c5527ec2a.png